In this paper, we derive a simple closed-form expression for the call completion probability in a wireless cellular network under Weibull distributed cell dwell time and call holding time. The derived expression is given in terms of the Meijer-G function which can be easily evaluated by commonly available computer software such as Mathematica. Numerical results are presented to show that the call completion probability is very sensitive to changes in the shape parameter of the Weibull distribution when its value is less than unity (heavy tail region).

No abstract

No abstract

No abstract

No abstract

In this paper, we derive simple closed-form expressions that closely approximate the call completion probability in a wireless cellular network under generalized gamma distributed cell dwell time and call holding time with arbitrary distribution. The derived expressions are given in terms of the moment generating function of the call holding time and only require finite first and second moments of the cell dwell time distribution.

No abstract

The 5G and beyond networks will intrinsically accommodate a wide range of use-case scenarios and expand the limit of legacy mobile systems. The 5G network architecture can handle the seamless operation of various wireless channels in a heterogeneous environment. The η-µ fading model is well-suited for versatile channels as it adapts to different fading behaviors in a broad-range propagation for non-line-of-sight (NLOS) circumstances. This paper evaluates the performance of heterogeneous wireless networks using η-µ fading channel under mobility conditions. We incorporated the random waypoint (RWP) model with η-µ distribution to model the dynamic behavior of non-homogeneous fading. The derivation of expressions for the probability density function (PDF) and cumulative distribution function (CDF) of the received signal power for a mobile network in all three-dimensional topologies is extracted. Consequently, the outage probability (OP) and average bit error rate (ABER) are analyzed to quantify the performance of the mobile system. The effect of co-channel interference (CCI) is investigated based on a desired and interfering signal transmitted in mobile networks. The proposed novel-form can characterize the performance of a mobile user, and the derivation is useful for measuring the effect of noise and interference on the signal. Finally, the novel-form applicability analyzes the impact of mobility incorporated in different fading channels such as Nakagami-m, Nakagami-q (Hoyt), Rayleigh, and one-sided Gaussian distributions.INDEX TERMS Co-channel interference, η-µ distribution, generalized fading model, heterogeneous network, random waypoint mobility.